fuzzy neural network system
Neuro fuzzy Modeling of an Eco friendly Melting Furnace Parameters using Bio fuels for the Agile Production of Quality Castings
... neuro-fuzzy system is capable of extracting fuzzy knowledge from numerical data and linguistic data into the ...applying fuzzy logic for systems represented by numerical knowledge (data sets), ...
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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL
... model: Neural Network and Fuzzy Expert System, Domain Expert System(DES) and Neural Networks (NN) and Combination of Fuzzy Expert System and Data Mining using ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural networks ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... past fuzzy clustering algorithms when identifying systems, a fuzzy clustering neural network (FCNN) is proposed and is applied to conjunction speech recognition ...the fuzzy ...
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Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... the system was measured using k-fold validation and an accuracy of ...intelligent system used the fuzzy expert system in addition to the neural network ...groups: fuzzy ...
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Comparative Study of Various Neural Network Models for Software Quality Estimation
... of fuzzy system and neural network where the fuzzy sets and rules are adjusted using neural networks tuning techniques in an iterative way with data vectors (input and output ...
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Implementation of Computational Intelligent Techniques for Diagnosis of Cancer Using Digital Signal Processor
... like Fuzzy Logic, Adoptive Neuro-Fuzzy Inference System (ANFIS) and Neural Network for diagnosis of cancer using TMS320C6713 (Texas Instruments) DSP (Digital Signal ...
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... A study was conducted in 2013 on modelling and predicting the formation of ozone in the air of Mashhad city using a neural fuzzy network based on inference fuzzy-adaptive systems. It was ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... motor system. With the combined synergy of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault ...
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Development of Hybrid Intrusion Detection System and Its Application to Medical Sensor Network
... your system and network ...computer system is carried out by Intrusion Detection Systems (IDS) and it forms a major portion of system defence against ...Detection System (IDS) based on ...
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Development of an Expert System for Message Routing in a Switched Network Environment
... computer network environment (Switched Network) using a Neuro- Fuzzy Expert System (NFES) ...of network traffic condition and imprecise and poor bandwidth management ...Expert ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... of neural networks for modeling precipitation - runoff in the basin Aq Chay Iran ...the neural network ...artificial neural networks and Adaptive Neural-Fuzzy Inference ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) were designed and simulated on the TWIP ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... artificial neural networks has many considerable advantages; first, neural networks have a high similarity with the human nervous system, and unlike the traditional methods, they are data-driven ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... of fuzzy cognitive maps (FCM) for a knowledge-based navigation ...the system becomes able to adapt to changes in the environment and successfully avoid ...a neural network, for autonomous ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy inference ...
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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...Artificial Neural Network (ANN), with few studies on use of Adaptive Neuro-fuzzy Inference ...
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Prolonging the Network Life Time in WSN through Computational Intelligence
... Flat Network ii) Cluster-Based Data Aggregation iii) Tree Based Data Aggregation iv) Grid Based Data ...sensor network. Data Aggregation are addressed through GA, fuzzy logic, RL and ...Class ...
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Vol 2, No 11 (2014)
... as fuzzy logic control, neural network control, genetic algorithm, and expert system, proved to be ...accurate system mathematical ...schemes. Fuzzy controller conventionally is ...
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... and fuzzy inference system (FIS) where neural network algorithm is used to determine FIS parameter (Chang and Lain, ...Sugeno’s fuzzy model is a sistematic approach in generating ...
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